基于推断脉冲响应的数据驱动强迫振荡定位
Data-driven Forced Oscillation Localization using Inferred Impulse Responses
AI总结：
提出一种纯数据驱动的强迫振荡源定位框架，利用同步相量测量恢复脉冲响应并基于频域最小二乘拟合估计源位置，经IEEE 68节点和240节点系统验证有效。
摘要：
弱阻尼振荡对互联电力系统的稳定性和可靠性构成威胁。在这项工作中，我们提出了一种仅利用同步相量测量的全面数据驱动框架，用于推断强迫振荡（FO）的来源。在正常电网运行期间，收集快速率环境数据以恢复小信号状态下的脉冲响应，无需系统模型。当强迫振荡事件发生时，通过频域分析，利用先前恢复的脉冲响应拟合强迫振荡数据的最小二乘（LS）误差来估计来源。尽管所提出的框架是纯数据驱动的，但该结果已通过基于线性化动力学在几个现实假设下的模型分析在理论上得到确立。数值验证证明了其在实际电力系统中的适用性，包括具有控制效应的非线性、高阶动力学，使用IEEE 68节点系统以及来自IEEE-NASPI强迫振荡源定位竞赛的240节点系统。所提出方法的通用性已通过不同类型的测量和部分传感器覆盖条件得到验证。
英文摘要：
Poorly damped oscillations pose threats to the stability and reliability of interconnected power systems. In this work, we propose a comprehensive data-driven framework for inferring the sources of forced oscillation (FO) using solely synchrophasor measurements. During normal grid operations, fast-rate ambient data are collected to recover the impulse responses in the small-signal regime, without requiring the system model. When FO events occur, the source is estimated based on the frequency domain analysis by fitting the least-squares (LS) error for the FO data using the impulse responses recovered previously. Although the proposed framework is purely data-driven, the result has been established theoretically via model-based analysis of linearized dynamics under a few realistic assumptions. Numerical validations demonstrate its applicability to realistic power systems including nonlinear, higher-order dynamics with control effects using the IEEE 68-bus system, and the 240-bus system from the IEEE-NASPI FO source location contest. The generalizability of the proposed methodology has been validated using different types of measurements and partial sensor coverage conditions.
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